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Renn F
431f2c72e0
Update every behind-base/rebase guidance surface to reflect the B1 sync_branch dev verb + B2 i_am_done behind-base gate: devs now self-rebase through the gate instead of escalating a plain behind-base condition; PMs still escalate cell/root integration branches (they have no rebase verb). - developer.md: sync_branch in the verb table; 'When your branch is behind its base' rewritten — call sync_branch, do NOT i_am_blocked a plain behind-base; conflicts → resolve by hand, commit, sync_branch again. - cell_pm.md: delegate signature gains intends_to_touch/adds_migration/ touches_shared/depends_on + a 'Collision surface' section (fill it on every code subtask so sibling dev tasks that touch the same files sequence into a conflict-free order — the 2026-06-27 out-of-order break fix); behind-base section steers devs to sync_branch, PMs escalate only the integration branch. - main_pm.md: behind-base section — dev leaf = dev's sync_branch; cell/root integration branch = escalate_up. - RAG git-errors.md / blocked-tools.md: devs sync_branch, PMs escalate. - docs/troubleshooting/common-issues.md: leaf self-rebases; integration branch still escalates to operator. - CLAUDE.md verb surface: developer gains sync_branch. - agents/prompts/_generated/*: regenerated via scripts/regenerate_verb_tables.py — adds sync_branch to the dev table AND catches the generated tables up to the S1/S2 delegate sequencing params + meltdown-fix note top-level params (the derived files had drifted stale vs the already-committed schemas). Docs/prompts only — no code. ruff + mypy roboco/ tests/ clean.
RAG Knowledge Base Documentation
Optimized documentation for the RoboCo AI agent knowledge base. Each file is sized for effective RAG chunking.
Structure
docs/rag/
├── roles/ # Agent role responsibilities
├── workflows/ # Step-by-step task flows
├── standards/ # Coding, security, testing rules
├── architecture/ # System components
├── tools/ # MCP tools reference
└── troubleshooting/ # Common issues and fixes
Organization Principles
- One topic per file - Each file covers a single concept
- Chunk-friendly - Content fits in 512-1536 token chunks
- Self-contained - Each file provides complete context
- Actionable - Focus on what agents need to DO
For Agents
When searching the knowledge base:
- Use
roboco_kb_search()for semantic search - Use
roboco_rag_query()for AI-synthesized answers - Use
roboco_ask_mentor()for conversational help
See docs/rag/tools/kb-tools.md for the full KB tool reference.